Stop fake and synthetic demand deposit accounts, e-wallets, and digital service applications. Prevent downstream fraud damage and compliance risks, including mule accounts, check kiting, and loan fraud.
Instantly evaluate credit card, BNPL, and personal loan applications in real-time. Balance growth and fraud risk exposure to ensure long-term business line profits and sustainability.
Solution Overview
Enrich internal databases, identity verifications, and credit inquiries, and add native device SDK data to create thousands of hyper-scalable out-of-box features for automated detection at scale. Gain a comprehensive understanding of each applicant and active account, including its payment history, previous abuse instances, and behavioral and device data, and use it as the foundation of effective fraud strategies for cross-channel fraud prevention.
Highlight good applications for automatic approval and investigate suspicious ones intuitively. Allow business and product teams to deliver tailored customer experiences that exceed expectations without increasing fraud and compliance exposure. Accomplish this by layering risk controls based on individual event/applicant assessments and leveraging machine learning models to deliver real-time results at scale.
Use an intuitive, no-code UI to set up automatic individual decisions that approve, reject, or send applications for review based on dynamic criteria that your team can adapt on-the-fly.Take decisions one step further and visualize networks of fraud attempts to uncover connections across applicants, then act in bulk with features such as One-Click Investigation and black list management. Consistently meet existing target review rates and set future ones with accurate and actionable insights.
Combat financial crime in electronic fund transfers with precision and agility. Control risk, deploy real-time payment channels quickly, and exceed your customers’ expectations with DataVisor.
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Stop first-party and third-party check fraud with simplicity and context-based automated decisions.
Leverage machine learning, rules, and device and behavioral intelligence to make better decisions in real time that block bad payments and first-party fraud without adding friction for good customers.